Publication Date
In 2025 | 2 |
Since 2024 | 4 |
Since 2021 (last 5 years) | 7 |
Since 2016 (last 10 years) | 7 |
Since 2006 (last 20 years) | 7 |
Descriptor
Data Science | 7 |
Higher Education | 7 |
College Students | 2 |
Computer Assisted Testing | 2 |
Data Analysis | 2 |
Data Collection | 2 |
Databases | 2 |
Information Technology | 2 |
Program Effectiveness | 2 |
Programming | 2 |
Research Methodology | 2 |
More ▼ |
Source
Assessment Update | 1 |
Higher Education for the… | 1 |
IEEE Transactions on Education | 1 |
Information Systems Education… | 1 |
International Journal of… | 1 |
Journal of Statistics and… | 1 |
Journal on Empowering… | 1 |
Author
Atenas, Javiera | 1 |
Brennan Bean | 1 |
Christos Douligeris | 1 |
David Eubanks | 1 |
Dennis K. Pearl | 1 |
Eric A. Nord | 1 |
Fragkiskos Bersimis | 1 |
Havemann, Leo | 1 |
Heather L. Perry | 1 |
James R. Wolf | 1 |
Jonathan Park | 1 |
More ▼ |
Publication Type
Journal Articles | 7 |
Reports - Research | 4 |
Reports - Descriptive | 2 |
Information Analyses | 1 |
Reports - Evaluative | 1 |
Education Level
Higher Education | 7 |
Postsecondary Education | 7 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
James R. Wolf – Information Systems Education Journal, 2025
This paper introduces the LEGO® Database, a large natural dataset that can be used to teach Structured Query Language (SQL) and relational database concepts. This dataset is well-suited for introductory and advanced database assignments and end-of-semester group projects. The data is freely available from Kaggle.com and contains eight tables with…
Descriptors: Higher Education, Databases, Data Analysis, Web Sites
David Eubanks; Scott A. Moore – Assessment Update, 2025
Assessment and institutional research offices have too much data and too little time. Standard reporting often crowds out opportunities for innovative research. Fortunately, advancements in data science now offer a clear solution. It is equal parts technique and philosophy. The first and easiest step is to modernize data work. This column…
Descriptors: Higher Education, Educational Assessment, Data Science, Research Methodology
Brennan Bean – Journal on Empowering Teaching Excellence, 2023
Modern technology threatens traditional modes of classroom assessment by providing students with automated ways to write essays and take exams. At the same time, modern technology continues to expand the accessibility of computational tools that promise to increase the potential scope and quality of class projects. This paper presents a case study…
Descriptors: Introductory Courses, Data Science, Student Projects, Programming
Maria Eftychia Angelaki; Fragkiskos Bersimis; Theodoros Karvounidis; Christos Douligeris – IEEE Transactions on Education, 2024
Contributions: This article explores the impact of environmental education interventions about e-waste recycling and management practices as well as about the energy usage of data centers (DCs) into the Information and Communication Technologies (ICTs) university curricula. Intended Outcomes: An education program was implemented aiming to raise…
Descriptors: Information Technology, Communications, Conservation Education, Sanitation
Atenas, Javiera; Havemann, Leo; Timmermann, Cristian – International Journal of Educational Technology in Higher Education, 2023
This paper presents an ethical framework designed to support the development of critical data literacy for research methods courses and data training programmes in higher education. The framework we present draws upon our reviews of literature, course syllabi and existing frameworks on data ethics. For this research we reviewed 250 research…
Descriptors: Critical Literacy, Data Analysis, Ethics, Research Methodology
Sy-Miin Chow; Jungmin Lee; Jonathan Park; Prabhani Kuruppumullage Don; Tracey Hammel; Michael N. Hallquist; Eric A. Nord; Zita Oravecz; Heather L. Perry; Lawrence M. Lesser; Dennis K. Pearl – Journal of Statistics and Data Science Education, 2024
Personalized educational interventions have been shown to facilitate successful and inclusive statistics, mathematics, and data science (SMDS) in higher education through timely and targeted reduction of heterogeneous training disparities caused by years of cumulative, structural challenges in contemporary educational systems. However, the burden…
Descriptors: Individualized Instruction, Instructional Design, Science Education, Higher Education
Integrating Computational Data Science in University Curriculum for the New Generation of Scientists
Renu, N.; Sunil, K. – Higher Education for the Future, 2023
Integration of computational data science (CDS) into the university curriculum offers several advantages for students, faculty and the institution. This article discusses the benefits to students of introducing CDS into the university curriculum with a focus on developing skills in cheminformatics, data analysis, structure--activity relationships,…
Descriptors: Data Science, Higher Education, College Students, Skill Development